Forward deployed engineering
Engineers who learn your business, then build what it needs.
Buildience helps companies get difficult technical work done. Bring us in as forward deployed engineers inside your team, for a clearly defined project, or to build a product from its first version.
Diagram: problems such as manual handoffs, disconnected tools and scattered data are routed through forward deployed engineers into a working system.
Engineers sit with your team to map the problem and the systems around it.
It usually starts with something that's stuck.
A feature that keeps slipping. Two systems that never agree. An idea that needs a first version. These are the situations we're set up to help with.
- 01
The roadmap is slower than the business
Your team knows what needs building, but there isn't enough engineering time to reach it without dropping something else.
- 02
An idea that needs a working version
You've talked to potential users and the problem is real. Now you need a product people can try, without overbuilding it.
- 03
Systems that don't share data
Your CRM, billing, support desk and internal tools each hold part of the picture, and someone reconciles them by hand.
- 04
Repetitive work that fills the week
Information gets re-keyed from one tool into another, when a well-built process could handle it reliably.
- 05
AI that never left the demo
A prototype looked promising, but it isn't connected to your data, your permissions, or the way people work.
- 06
A codebase that resists change
Slow pages, nervous releases, bugs nobody can reproduce, or a stack that makes small features expensive.
Forward deployed engineers work inside your team.
A forward deployed engineer (FDE) works within your team's rhythm, from planning to the conversations with users. They own a defined technical challenge and stay with it until it works, so your permanent team can keep its focus.
Not every engagement looks the same
FDE is how we prefer to work, but the right shape depends on the problem. Here are three of the shapes the work can take; the services page lists all of them.
- 01
Forward deployed engineers
One or more engineers working inside your team on a defined area of responsibility.
Explore an engineering engagement - 02
A defined project
A specific feature, integration, fix or proof of concept, with a written scope and a clear finish line.
Discuss a technical challenge - 03
A product build
An MVP or new product, taken from the first scoping conversation to a version real users can rely on.
Build your MVP
What we work on
Real problems rarely stay inside one layer of the stack. Each area below has a fuller description on the services page.
- 01
Product development & MVPs
Turning an early idea into something people can use, then improving it based on what you learn.
- 02
Frontend, backend & full-stack
Interfaces, APIs, business logic and databases, written so the team that inherits them can maintain them.
- 03
AI engineering
AI features and workflows tied to a real business task, connected to your applications and data.
- 04
Integrations & automation
Reliable data flows between the tools you already use, and automation for the manual steps in between.
- 05
AI coding tools, Claude & MCP
Helping engineering teams get real value from AI coding tools, with workflows built around how they already work.
- 06
Existing products & hard problems
The issues that stop a product from shipping: performance, reliability, legacy code and missing features.
We also build our own platform: Buildience.
Alongside engineering engagements, we build Buildience: a modular business management platform that brings teams, projects, customers, workflows and operations together in one place, instead of a pile of disconnected tools.
- Projects & tasks
- CRM
- Documents
- Requests & approvals
- Dashboards
Product development & MVPs
A first version small enough to ship and solid enough to build on.
Founders usually have more ideas than a first release can hold. We help decide what the MVP needs to prove, build it, and keep the architecture simple enough to change as you learn.
AI, integrations & automation
AI and automation that fit how your business already runs.
The model is rarely the hard part of AI work. The effort goes into connecting it to your data and to the systems people already use. Automation is similar: most of the work is making data move reliably between tools.
From first conversation to working software.
- 01
Understand the problem
You tell us what's going on, and we ask questions.
- 02
Define scope and constraints
We agree in writing what's included, what isn't, and how we'll know it's done.
- 03
Agree the approach
A plan for the first increment and how you'll see progress.
- 04
Implement and validate
Small, visible increments, tested and deployed into your environment.
- 05
Review and decide what's next
Stop, continue, or plan the next piece of work. It's your call.
Common questions
If your question isn't here, ask us directly. We're happy to explain how an engagement would work in your situation.
It depends on the work, and we'd rather find out with you than guess. Many challenges can be handled by one or two engineers working closely with your team, while larger initiatives need more. After the first conversation we'll recommend a shape.
Yes. That's the core of the forward deployed model. Our engineers work in your repositories and pair with your developers, so the knowledge stays with your team.
Often, yes. A single integration, a hard-to-reproduce bug or a proof of concept can be a good first piece of work.
Yes. We start by reading the code, running it and understanding how it got that way before changing anything. Then we improve it in steps that keep the product working.
Yes. We can help scope the first version, choose a sensible architecture, build it and get it in front of users, then plan the next iteration from what you learn.
Usually. Most modern tools offer APIs or data exports we can build on. When a system is harder to reach, we check feasibility early and explain the options before any significant work starts.
We start with a conversation and a short discovery period. The result is a written scope covering the goal, what's included and what isn't, the assumptions, and how progress will be reviewed. If what we learn changes the picture, we revisit the scope with you instead of quietly expanding it.
A forward deployed engineer works inside your team and adjusts as understanding improves, while outsourcing usually delivers against a specification from outside it. We compare the two, along with staff augmentation, in a separate article.
FDE vs. staff augmentation vs. outsourcingTell us about the problem.
A few sentences about the problem is enough to start. We'll reply with questions about the context.
What happens next
- 1
We read your message and reply, often with a few questions.
- 2
If it looks like a fit, we suggest a call to understand the context.
- 3
We follow up with how we'd approach it.